Course script

Course-wise Breakdown & Counseling Guide

1. Full Stack Analytics Course

Target Learner: Freshers, professionals, commerce or IT graduates

Focus: End-to-end data analytics tools from raw data to insights

Modules Include:

Excel → SQL → Python → Power BI → ML

Dashboarding, GitHub, Project Work, Business Use Cases

Duration: 5–7 Months

Jobs: Data Analyst, Business Analyst, BI Developer

Counselor Tip: Pitch as “All-in-One” career transformation course

2. Advanced Excel

Target Learner: Office staff, commerce students, MIS professionals

Focus: Data cleaning, formatting, pivoting & visualization

Modules Include:

VLOOKUP, HLOOKUP, Pivot Table, Macros, Charts

Power Query, Advanced Formulas

Duration: 1.5 – 2 Months

Jobs: MIS Executive, Analyst Assistant

Counselor Tip: First step into analytics for non-programmers

3. SQL for Analytics

Target Learner: Beginners, fresher, data enthusiast

Focus: Querying databases and fetching business data

Modules Include:

SELECT, WHERE, GROUP BY, JOINS, Subqueries

Data Cleaning, Analytics Functions

Duration: 1.5 – 2 Months

Jobs: Data Analyst, SQL Developer

Counselor Tip: Recommend for anyone aiming to enter analytics or backend data roles.

4. Python for Analytics

Target Learner: Beginners to intermediate

Focus: Analyzing data using Python libraries

Modules Include:

Python Basics, NumPy, Pandas, Matplotlib, Seaborn

CSV Handling, Cleaning, Visualization

Duration: 2 – 2.5 Months

Jobs: Data Analyst, BI Analyst

Counselor Tip: Ideal for those shifting from Excel to automation

5. Advanced Python for Analytics

Target Learner: Learners with Python basics

Focus: Handling large data, web scraping, automation

Modules Include:

Lambda, Map, Filter, List Comprehension

APIs, Web Scraping (BeautifulSoup, Requests), Regex

Integration with BI tools and databases

Duration: 2 – 2.5 Months

Jobs: Data Analyst, Data Engineer

Counselor Tip: Recommend to Python learners who want deeper data automation

6. Machine Learning for Analysts

Target Learner: Analysts, MIS, Python learners

Focus: Predictive analytics & forecasting

Modules Include:

Regression, Classification, Clustering

Scikit-learn, Model Evaluation, Use Cases (Sales Forecasting, Churn)

Duration: 2.5 – 3 Months

Jobs: Data Scientist (Junior), Forecast Analyst

Counselor Tip: Focus on ML applications for business problems

7. Power BI

Target Learner: Corporate professionals, Excel users

Focus: Business dashboard creation

Modules Include:

Data Load, DAX, Visualizations

Power Query, Real-time dashboards, Publishing

Duration: 1.5 – 2 Months

Jobs: BI Developer, Business Analyst, Power BI Specialist

Counselor Tip: Easy to learn. Powerful reporting. High demand in corporates.

8. Tableau

Target Learner: Visual learners, BI enthusiasts

Focus: Drag-drop-based visualization & storytelling

Modules Include:

Dimensions & Measures, Filters, Parameters

Charts, Dashboards, Calculations

Duration: 1.5 – 2 Months

Jobs: Tableau Developer, BI Analyst

Counselor Tip: Suggest Tableau to those inclined toward design + data

9. Alteryx

Target Learner: BI professionals, analysts

Focus: No-code data cleaning and automation

Modules Include:

Data Input/Output, Joins, Filter, Clean, Transform

Workflow building, Macros, Predictive Analytics

Duration: 2 – 2.5 Months

Jobs: ETL Developer, Data Engineer, Workflow Designer

Counselor Tip: Powerful tool for non-coders and corporates doing frequent ETL

10. Snowflake

Target Learner: Advanced learners, cloud/SQL users

Focus: Cloud-based data warehouse

Modules Include:

Warehouses, Databases, Virtual Schemas

Query Optimization, Security & Integration

Duration: 2 – 2.5 Months

Jobs: Data Engineer, Cloud Analyst

Counselor Tip: Emphasize Snowflake’s demand in modern enterprise data teams

11. GitHub for Analysts

Target Learner: Python/BI learners, teams

Focus: Version control, project collaboration

Modules Include:

Git Basics, Repo Management, Commits

Branching, Merging, Pull Requests

Hosting dashboards/code

Duration: 1 Month

Jobs: Analyst in modern team settings

Counselor Tip: Must-have for those entering collaborative environments